An Automatic Analysis System for Firearm Identification Based on Ballistics Projectile

  • Jun Kong
  • Dongguang Li
  • Chunnong Zhao
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3066)

Abstract

Characteristic markings on the cartridge and projectile of a bullet are produced when a gun is fired. Over thirty different features within these marks can be distinguished, which in combination produce a ”fingerprint” for identification of a firearm. Given a means of automatically analyzing features within such a firearm fingerprint, it will be possible to identify not only the type and model of a firearm, but also each individual weapon as effectively as human fingerprint identification can be achieved. In this paper, a new analytic system based on fast Fourier transform (FFT) for identifying the projectile specimens digitized using the line-scan imaging technique automatically is proposed. Experimental results show that the proposed system has the ability of efficient and precise analysis and identification for projectiles specimens.

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References

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Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Jun Kong
    • 1
    • 2
  • Dongguang Li
    • 1
  • Chunnong Zhao
    • 1
  1. 1.School of Computer and Information ScienceEdith Cowan UniversityPerthWestern Australia
  2. 2.School of Computer ScienceNortheast Normal UniversityChangchun, JilinChina

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